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Texture-based sea ice classification on TerraSAR-X imagery

Ressel, Rudolf and Lehner, Susanne (2014) Texture-based sea ice classification on TerraSAR-X imagery. In: Proceedings of the 22 IAHR International Symposium on ICE 2014 (IAHR-ICE 2014), pp. 503-509. Research Publishing Services, Singapur. IAHR-ICE 2014, 11.-15.08.2014, Singapur, Singapur. ISBN 978 981 09 0750 1

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Abstract

Sea ice monitoring has attracted growing attention over the last decade due to its importance in global warming. Besides the purely scientific interest, practical implications of global warming are the increased navigability of ice-infested sea passages such as the Arctic Northwestern and Northeastern passages. To assist maritime endeavors in these areas, ice type classification is pivotal. National sea ice surveillance services of several countries have provided ice charts on a continuous basis, mostly generated by human experts in a manual fashion. These classifications are based on a variety of data sources, mostly from microwave or optical spaceborne and airborne sources. In this paper we present an approach that relies on TerraSAR-X Satellite data. Such data offers images at a high resolution in a radar band so far very rarely applied for ice classification. In order to build on expert knowledge of the past, we designed an artificial neural network approach, which outputs a number of suitable ice type classes. Input neurons are fed by an automated feature extraction algorithm. These features are based on popular and wellestablished texture analysis methods, most notably graylevel co-occurrence matrices (GLCM) and local binary patterns (LBP). Images are acquired for a selected eographical area for which ground truth data can be obtained from national ice services (Baltic sea). From these datasets, training and validation samples are chosen and evaluated. Classification results are compared with official ice charts. We asses suitability for near real time services. Based on first examples and computed results, we conclude that our approach is rather promising for automatic near real time (NRT) services.

Item URL in elib:https://elib.dlr.de/89495/
Document Type:Conference or Workshop Item (Speech)
Title:Texture-based sea ice classification on TerraSAR-X imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ressel, RudolfRudolf.Ressel (at) dlr.deUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:Proceedings of the 22 IAHR International Symposium on ICE 2014 (IAHR-ICE 2014)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 503-509
Publisher:Research Publishing Services, Singapur
ISBN:978 981 09 0750 1
Status:Published
Keywords:SAR, sea ice classification, TerraSAR-X, remote sensing
Event Title:IAHR-ICE 2014
Event Location:Singapur, Singapur
Event Type:international Conference
Event Dates:11.-15.08.2014
Organizer:International Association for Hydro-Environment Engineering and Research, Nanyang Environment & Water Research Institute, Nanyang Technological University
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:08 Sep 2014 11:07
Last Modified:08 Sep 2014 11:07

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